A blood distribution problem with new transportation options - An application for the Turkish Red Crescent

Atil Kurt; Ferda Can Çetinkaya; Meral Azizoǧlu

doi:10.1504/EJIE.2019.100002

A blood distribution problem with new transportation options - An application for the Turkish Red Crescent

Atil Kurt, Ferda Can Çetinkaya^*, Meral Azizoǧlu

^*Corresponding author for this work

Industrial Engineering & Business Information Systems

Research output: Contribution to journal › Article › Academic › peer-review

5 Citations (Scopus)

5 Downloads (Pure)

Abstract

This paper considers the blood distribution problem in the Central Anatolian Regional Blood Centre of the Turkish Red Crescent (TRC) and proposes several demand satisfaction options considering the irradiation centres, urgent demands, and product availability. Our aim is to maximise the total weighted blood demand satisfaction. To address the problem, we develop a mixed integer linear programming model and propose a hybrid genetic algorithm (HGA). The results of our experiments have revealed that the mathematical model cannot handle even small sized problem instances in reasonable times; however, the hybrid genetic algorithm is capable of handling complex daily operations of the Turkish Red Crescent.

Original language	English
Pages (from-to)	332-367
Number of pages	36
Journal	European journal of industrial engineering
Volume	13
Issue number	3
DOIs	https://doi.org/10.1504/EJIE.2019.100002
Publication status	Published - 28 May 2019

Keywords

Blood distribution system
Genetic algorithm
Mixed integer linear programming model
Transportation options
Vehicle routing
n/a OA procedure

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10.1504/EJIE.2019.100002

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title = "A blood distribution problem with new transportation options - An application for the Turkish Red Crescent",

abstract = "This paper considers the blood distribution problem in the Central Anatolian Regional Blood Centre of the Turkish Red Crescent (TRC) and proposes several demand satisfaction options considering the irradiation centres, urgent demands, and product availability. Our aim is to maximise the total weighted blood demand satisfaction. To address the problem, we develop a mixed integer linear programming model and propose a hybrid genetic algorithm (HGA). The results of our experiments have revealed that the mathematical model cannot handle even small sized problem instances in reasonable times; however, the hybrid genetic algorithm is capable of handling complex daily operations of the Turkish Red Crescent.",

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AB - This paper considers the blood distribution problem in the Central Anatolian Regional Blood Centre of the Turkish Red Crescent (TRC) and proposes several demand satisfaction options considering the irradiation centres, urgent demands, and product availability. Our aim is to maximise the total weighted blood demand satisfaction. To address the problem, we develop a mixed integer linear programming model and propose a hybrid genetic algorithm (HGA). The results of our experiments have revealed that the mathematical model cannot handle even small sized problem instances in reasonable times; however, the hybrid genetic algorithm is capable of handling complex daily operations of the Turkish Red Crescent.

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KW - Genetic algorithm

KW - Mixed integer linear programming model

KW - Transportation options

KW - Vehicle routing

KW - n/a OA procedure

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A blood distribution problem with new transportation options - An application for the Turkish Red Crescent

Abstract

Keywords

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